Miro2.0 Buy / Sell NewbieMiro2.0 Buy / Sell Newbie
This sinyal for newbie, help you to buy cheap / low prices. No teknikal needed just follow my signal.
DISCLAIMER:
Buy n Sell just momentum, please be wise buy on bottom sell on peak
Kitaran
Sequential SMT (QT)📊 Sequential SMT (Quarterly Theory)
Smart Money Divergences Across Time Quarters
This indicator identifies Sequential SMT patterns - divergences between correlated assets across consecutive time periods. When institutional players manipulate one asset while its correlated pair shows strength or weakness, it reveals potential reversals and distribution phases.
⚡ Key Features
Dual-Cycle Detection
M5 Timeframe: Simultaneously tracks Daily Cycles (6h) AND 90-minute quarters
M1 Timeframe: Simultaneously tracks 90-minute cycles AND 22.5-minute quarters
Both cycle types run concurrently, providing multiple confluence levels
Divergence Detection
SSMT Patterns: Bullish when one asset makes lower low while correlated makes higher low | Bearish when one asset makes higher high while correlated makes lower high
Hidden SSMT: Body-only analysis reveals concealed institutional activity
5 Configurable Correlation Pairs
Pre-configured with major correlations:
BTC/ETH (Crypto leaders)
NQ/ES (Index futures)
EUR/GBP (Forex majors)
Gold/Silver (Precious metals)
Custom pair slot
🎯 Visual Components
Quarter Boxes: Color-coded Q1-Q4 periods showing price ranges
Cycle Frames: Larger timeframe boundaries for context
SSMT Lines: Connect divergence points between quarters
True Opens: TDO (daily) and TSO (session) key levels
Dual Labels: "90m" and "DC" for M5 | "22m" and "90m" for M1
💡 Trading Application
SSMT patterns help identify:
Manipulation zones before distribution
Reversal points at quarter transitions
Directional bias for next 1-3 quarters
High-probability entries when combined with True Opens
Best results when divergences occur:
Bullish below True Open ↗️ | Bearish above True Open ↘️
During high-impact news events 📰
With confluence between both cycle types
⚙️ Customization
Toggle individual components, adjust colors, control visual density. Clean or detailed - your choice. Debug panel available for precise analysis.
---
Based on Quarterly Theory and Smart Money Concepts. Tracks institutional footprints through correlated market relationships across multiple time cycles.
Spirit Time SMT 1M DIVDivergences from 90Min-1Min
apparently i have to explain more of what this does.
pretty self explanatory
Hope this enough text
Pi Cycle Top Indicator - mychaelgoPlots the original Pi Cycle Top moving averages and marks bars where the 111DMA is rising and crosses above the 350DMA×2, often coinciding with Bitcoin cycle peaks. Includes a label with the signal price.
FX4M by fx4_livingFX4M Simplified by fx4_living
1. Previous Period Framework
Selectable Period: Prior Daily, Weekly, or Monthly.
Range Box: Full high-to-low span of the prior period, shaded by up/down close.
Body Box: Open-to-close section within the range box.
High/Low Lines: Horizontal lines at the previous period’s high/low.
Equilibrium Line: Midpoint between the previous high and low.
2. Intraday Opening Lines
Plots reference price lines for:
Daily Open
(00:00 New York) Midnight Open
09:30 AM Open
13:30 PM Open
Current-Hour Open; plus Weekly/Monthly Opens when Weekly/Monthly is selected.
Each line has its own color, style, and time/price label.
3. Intraday High/Low Tracking
Marks the current day’s highest and lowest prices.
“D-H” and “D-L” labels with time in tooltip.
4. Accumulation Range
Definition: First one-third of the selected reference period.
Shows full range (high-to-low) and body (open-to-close), shaded by up/down close.
After it ends, the Accumulation High/Low/EQ are drawn as horizontal lines.
Optional alerts mark the first time the Accumulation High or Low is reached.
5. Accumulation Range Deviation Levels
After the Accumulation period ends, horizontal levels are drawn at ±0.5, ±1.0, ±1.5 … ±3.5 of the Accumulation range size from its High/Low. Optional small labels show the level value.
Optional alerts mark the first time each deviation level is reached.
6. Previous Period Hit Detection
Marks the first time price reaches the prior period’s High, Low, or Equilibrium during the current period.
Optional alerts are possible.
7. Pre-Market Zone
Marks 05:00–06:59 New York time with a shaded box and dotted midline; color reflects up/down close. The midline can extend forward.
Displayed on intraday charts up to 15 minutes.
8. Status Table
Daily High (time & price)
Daily Equilibrium (current deviation % and price)
Daily Low (time & price)
MWD Institutional order flow (optional): shows Daily/Weekly/Monthly closes vs. their respective opens (directional arrows in colored cells).
Customizable Watermark (optional).
Enjoy
fx4_living
Crypto Macro CockpitCrypto Macro Cockpit — Institutional Liquidity Regime Detection
🔍 Overview
This script introduces a modern macro framework for crypto market regime detection, leveraging newly added stablecoin market data on TradingView. It’s designed to guide traders through the evolving institutional era of crypto — where liquidity, not just price, is king.
🌐 Why This Matters
Historically, traditional proxies like M2 money supply or bond yields were referenced to infer macro liquidity shifts. But with the regulatory green light and institutional embrace of stablecoins, on-chain fiat liquidity is now directly observable.
Stablecoins = The new M2 for crypto.
This script utilizes real-time data from:
📊 CRYPTOCAP:STABLE.C (Total Stablecoin Market Cap)
📊 CRYPTOCAP:STABLE.C.D (Stablecoin Dominance)
to assess dry powder, risk appetite, and macro regime transitions.
📋 How to Read the Crypto Macro Cockpit
This dashboard updates every few bars and is organized into four actionable segments:
1️⃣ Macro Spreads
Metric --> Interpretation
Risk Flow --> Measures capital flow between stablecoins and total crypto market cap. → Green = risk deploying.
ETH vs BTC --> Shift in dominance between ETH and BTC → rotation gauge.
ETHBTC --> Price ratio movement → confirms leadership tilt.
ALTs (TOTAL3ES) --> Momentum in altcoin market, excluding BTC/ETH/stables → key for alt season timing.
2️⃣ Liquidity & Risk Appetite
Metric --> Interpretation
Liquidity --> Directional change in stablecoin cap → more stables = more dry powder.
Risk Appetite --> Inverse of stablecoin dominance → falling dominance = capital rotating into risk.
3️⃣ Stablecoin Context
Metric --> Interpretation
StableCap ROC --> Growth rate of stablecoin market cap → proxy for fiat inflows.
StableDom ROC --> Change in stablecoin dominance → reflects market caution or aggression.
4️⃣ Composite Labels
Label --> Interpretation
Rotation --> Sector tilt (BTC-led vs ETH/Alts)
Regime --> Synthesized macro environment → "Risk-ON", "Caution", "Waiting", or "Risk-OFF"
Background Color --> Optional tint reflecting regime for quick glance validation
All metrics are evaluated with directional arrows (▲/▼/•) and acceleration overlays, using user-defined thresholds scaled by timeframe for precision.
🔔 Built-in Alerts
Predefined, non-repainting alerts include:
Regime transitions
Sector rotations
Confirmed ETH/ALT rotations
Stablecoin market cap spikes
Risk Flow acceleration
You can use these alerts for discretionary trading or automated system triggers.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves risk, and past performance does not guarantee future results. Always do your own research and manage risk responsibly.
✅ Ready to Use
No configuration needed — just load the script
Works on all timeframes (optimized for 1D)
Thresholds and smoothing are customizable
Table positioning and sizing is user-controlled
If you find this helpful, feel free to ⭐️ favorite or leave feedback. Questions welcome in the comments.
Let’s trade with macro awareness in this new era.
Bitcoin Expectile Model [LuxAlgo]The Bitcoin Expectile Model is a novel approach to forecasting Bitcoin, inspired by the popular Bitcoin Quantile Model by PlanC. By fitting multiple Expectile regressions to the price, we highlight zones of corrections or accumulations throughout the Bitcoin price evolution.
While we strongly recommend using this model with the Bitcoin All Time History Index INDEX:BTCUSD on the 3 days or weekly timeframe using a logarithmic scale, this model can be applied to any asset using the daily timeframe or superior.
Please note that here on TradingView, this model was solely designed to be used on the Bitcoin 1W chart, however, it can be experimented on other assets or timeframes if of interest.
🔶 USAGE
The Bitcoin Expectile Model can be applied similarly to models used for Bitcoin, highlighting lower areas of possible accumulation (support) and higher areas that allow for the anticipation of potential corrections (resistance).
By default, this model fits 7 individual Expectiles Log-Log Regressions to the price, each with their respective expectile ( tau ) values (here multiplied by 100 for the user's convenience). Higher tau values will return a fit closer to the higher highs made by the price of the asset, while lower ones will return fits closer to the lower prices observed over time.
Each zone is color-coded and has a specific interpretation. The green zone is a buy zone for long-term investing, purple is an anomaly zone for market bottoms that over-extend, while red is considered the distribution zone.
The fits can be extrapolated, helping to chart a course for the possible evolution of Bitcoin prices. Users can select the end of the forecast as a date using the "Forecast End" setting.
While the model is made for Bitcoin using a log scale, other assets showing a tendency to have a trend evolving in a single direction can be used. See the chart above on QQQ weekly using a linear scale as an example.
The Start Date can also allow fitting the model more locally, rather than over a large range of prices. This can be useful to identify potential shorter-term support/resistance areas.
🔶 DETAILS
🔹 On Quantile and Expectile Regressions
Quantile and Expectile regressions are similar; both return extremities that can be used to locate and predict prices where tops/bottoms could be more likely to occur.
The main difference lies in what we are trying to minimize, which, for Quantile regression, is commonly known as Quantile loss (or pinball loss), and for Expectile regression, simply Expectile loss.
You may refer to external material to go more in-depth about these loss functions; however, while they are similar and involve weighting specific prices more than others relative to our parameter tau, Quantile regression involves minimizing a weighted mean absolute error, while Expectile regression minimizes a weighted squared error.
The squared error here allows us to compute Expectile regression more easily compared to Quantile regression, using Iteratively reweighted least squares. For Quantile regression, a more elaborate method is needed.
In terms of comparison, Quantile regression is more robust, and easier to interpret, with quantiles being related to specific probabilities involving the underlying cumulative distribution function of the dataset; on the other expectiles are harder to interpret.
🔹 Trimming & Alterations
It is common to observe certain models ignoring very early Bitcoin price ranges. By default, we start our fit at the date 2010-07-16 to align with existing models.
By default, the model uses the number of time units (days, weeks...etc) elapsed since the beginning of history + 1 (to avoid NaN with log) as independent variable, however the Bitcoin All Time History Index INDEX:BTCUSD do not include the genesis block, as such users can correct for this by enabling the "Correct for Genesis block" setting, which will add the amount of missed bars from the Genesis block to the start oh the chart history.
🔶 SETTINGS
Start Date: Starting interval of the dataset used for the fit.
Correct for genesis block: When enabled, offset the X axis by the number of bars between the Bitcoin genesis block time and the chart starting time.
🔹 Expectiles
Toggle: Enable fit for the specified expectile. Disabling one fit will make the script faster to compute.
Expectile: Expectile (tau) value multiplied by 100 used for the fit. Higher values will produce fits that are located near price tops.
🔹 Forecast
Forecast End: Time at which the forecast stops.
🔹 Model Fit
Iterations Number: Number of iterations performed during the reweighted least squares process, with lower values leading to less accurate fits, while higher values will take more time to compute.
US Macro Cycle (Z-Score Model)US Macro Cycle (Z-Score Model)
This indicator tracks the US economic cycle in real time using a weighted composite of seven macro and market-based indicators, each converted into a rolling Z-score for comparability. The model identifies the current phase of the cycle — Expansion, Peak, Contraction, or Recovery — and suggests sector tilts based on historical performance in each phase.
Core Components:
Yield Curve (10y–2y): Positive & steepening = growth; inverted = slowdown risk.
Credit Spreads (HYG/LQD): Tightening = risk-on; widening = risk-off.
Sector Leadership (Cyclicals vs. Defensives): Measures market leadership regime.
Copper/Gold Ratio: Higher copper = growth signal; higher gold = defensive.
SPY vs. 200-day MA: Equity trend strength.
SPY/IEF Ratio: Stocks vs. bonds relative strength.
VIX (Inverted): Low/falling volatility = supportive; high/rising = risk-off.
Methodology:
Each series is transformed into a rolling Z-score over the selected lookback period (optionally using median/MAD for robustness and winsorization to clip outliers).
Z-scores are combined using user-defined weights and normalized.
The smoothed composite is compared against phase thresholds to classify the macro environment.
Features:
Customizable Weights: Emphasize the indicators most relevant to your strategy.
Adjustable Thresholds: Fine-tune cycle phase definitions.
Background Coloring: Visual cue for the current phase.
Summary Table: Displays composite Z, confidence %, and individual Z-scores.
Alerts: Trigger when the phase changes, with details on the composite score and recommended tilt.
Use Cases:
Align sector rotation or relative strength strategies with the macro backdrop.
Identify favorable or defensive phases for tactical allocation.
Monitor macro turning points to manage portfolio risk.
It's doesn't fill nan gaps so there is quite a bit of zeroes, non-repainting.
ABS Companion Oscillator — Trend / Exhaustion / New Trend (v1.1)
# ABS Companion Oscillator — Trend / Exhaustion / New Trend (v1.1)
## What it is (quick take)
**ABS CO** is a unified **–100…+100 trend oscillator** that fuses:
* **Regime**: EMA stack (fast/slow/long) + **HTF slope** (e.g., 60-minute)
* **Momentum**: **TSI** vs its signal
* **Stretch**: session-anchored **VWAP Z-score** for exhaustion and “fresh-trend” sanity checks
It paints the oscillator with **lime** in upstate, **red** in downstate, **gray** in neutral, and tags:
* **NEW↑ / NEW↓** when a **new trend** likely starts (zero-line cross with acceptable stretch)
* **EXH↑ / EXH↓** when an **existing trend looks exhausted** (large |Z| + momentum rollback)
> Use it as a **direction filter and context layer**. Works great in front of an entry engine and behind an exit tool.
---
## How to use it (operational workflow)
1. **Read the state**
* **Uptrend** when the oscillator is **≥ upThresh** (default +55) → prefer **long-side** plays.
* **Downtrend** when the oscillator is **≤ dnThresh** (default −55) → prefer **short-side** plays.
* **Neutral** between thresholds → be selective or flat; expect chop.
2. **Act on events**
* **NEW↑ / NEW↓**: zero-line cross with acceptable |Z| (not already overstretched). Treat as **trend start** cues.
* **EXH↑ / EXH↓**: trend state with **high |Z|** and TSI rollback versus its signal. Treat as **trend fatigue**; avoid fresh go-with entries and tighten risk.
3. **Practical pairing**
* Use **up/down state** (or above/below **neutralBand**) as your go/no-go filter for entries.
* Prioritize entries **with** NEW↑/NEW↓ and **without** nearby EXH tags.
* Keep holding while the oscillator stays in state and no EXH appears; consider scaling out on EXH or on your exit tool.
---
## Visual semantics & alerts
* **ABS CO line** (–100…+100): lime in upstate, red in downstate, gray in neutral.
* **Horizontal guides**: `Up` threshold, `Down` threshold, `Zero`, and optional **neutral band** lines.
* **Background heat** (optional): shaded when EXH conditions trigger (lime/red tint with intensity scaled by |Z|).
* **Tags**: `NEW↑`, `NEW↓`, `EXH↑`, `EXH↓`.
**Alerts (stable):**
* **ABS CO — New Uptrend** (NEW↑)
* **ABS CO — New Downtrend** (NEW↓)
* **ABS CO — Exhausted Up** (EXH↑)
* **ABS CO — Exhausted Down** (EXH↓)
Set alerts to **“Once per bar close”** for clean signals.
---
## Non-repainting behavior
* HTF queries use **lookahead\_off**.
* With **Strict NR = true**, the HTF slope is taken from the **prior completed** HTF bar; events evaluate on confirmed bars → **safer, fewer, cleaner**.
* NEW/EXH tags finalize at bar close. Disabling strictness yields earlier but noisier responses.
---
## Every input explained (and how it changes behavior)
### A) Trend & HTF structure
* **EMA Fast / Slow / Long (`emaFastLen`, `emaSlowLen`, `emaLongLen`)**
Control the baseline regime. Larger = smoother, fewer flips; smaller = snappier, more flips.
* **HTF EMA Len (`htfLen`)** & **HTF timeframe (`htfTF`)**
HTF slope filter. Longer len or higher TF = steadier bias (fewer state changes); shorter/ lower = more sensitive.
* **Strict NR (`strictNR`)**
`true` uses the **previous** HTF bar for slope and evaluates on confirmed bars → cleaner, slower.
### B) Momentum (TSI)
* **TSI Long / Short / Signal (`tsiLong`, `tsiShort`, `tsiSig`)**
Standard TSI. Larger values = smoother momentum, fewer EXH triggers; smaller = snappier, more EXH sensitivity.
### C) Stretch (VWAP Z-score)
* **VWAP Z-score length (`zLen`)**
Window for Z over session-anchored VWAP distance. Larger = smoother |Z|; smaller = more reactive stretch detection.
* **Exhaustion |Z| (`zHot`)**
Minimum |Z| to flag **EXH**. Raise to demand **bigger** stretch (fewer EXH); lower to catch milder excess.
* **Max |Z| for NEW (`zNewMax`)**
NEW requires |Z| **≤ zNewMax** (avoid “new trend” when already stretched). Lower = stricter; higher = more NEW tags.
### D) States & thresholds
* **Uptrend threshold (`upThresh`)** / **Downtrend threshold (`dnThresh`)**
Where the oscillator flips into trend states. Widen (e.g., +60/−60) to reduce false states; narrow to get earlier signals.
* **Neutral band (`neutralBand`)**
Visual buffer around zero for “meh” momentum. Larger band = fewer go/no-go flips near zero.
### E) Visuals & tags
* **Show New / Show Exhausted (`showNew`, `showExh`)**
Toggle the tag labels.
* **Shade exhaustion heat (`plotHeat`)**
On = color background when EXH fires. Helpful for scanning.
### F) Smoothing
* **Osc smoothing (`smoothLen`)**
EMA over the raw composite. Higher = steadier line (fewer whip flips); lower = faster turns.
---
## Tuning recipes
* **Trend-day bias (follow moves longer)**
* Raise **`upThresh`** to \~60 and **`dnThresh`** to \~−60
* Keep **`zNewMax`** low (1.0–1.2) to avoid “fresh trend” when stretched
* **`smoothLen`** 3–5 to reduce noise
* **Range-day bias (fade edges)**
* Keep thresholds closer (e.g., +50/−50) for quicker state changes
* Lower **`zHot`** slightly (1.6–1.7) to catch earlier exhaustion
* Consider slightly shorter TSI (e.g., 21/9/5) for faster EXH response
* **Scalping LTF (1–3m)**
* TSI 21/9/5, **`smoothLen`** 1–2
* Thresholds +/-50; **`zNewMax`** 1.0–1.2; **`zHot`** 1.6–1.8
* StrictNR **off** if you want earlier calls (accept more noise)
* **Swing / HTF (1h–D)**
* TSI 35/21/9, **`smoothLen`** 4–7
* Thresholds +/-60\~65; **`zNewMax`** 1.2; **`zHot`** 1.8–2.0
* StrictNR **on** for cleaner bias
---
## Playbooks (how to actually trade it)
* **Go/No-Go Filter**
* Only take **long entries** when the oscillator is **above the neutral band** (preferably ≥ `upThresh`).
* Only take **short entries** when **below** the neutral band (preferably ≤ `dnThresh`).
* Avoid fresh go-with entries if an **EXH** tag appears; let the next setup re-arm.
* **Trend Genesis**
* Treat **NEW↑ / NEW↓** as “green light” for **first pullback** entries in the new direction (ideally within acceptable |Z|).
* **Trend Maturity**
* When in a position and **EXH** prints **against** you, tighten stops, take partials, or lean on your exit tool to protect gains.
---
## Suggested starting points
* **Day trading (5–15m):**
* TSI 25/13/7, `smoothLen=3`, thresholds **+55 / −55**, `zNewMax = 1.2`, `zHot = 1.8`, **StrictNR = true**
* **Scalping (1–3m):**
* TSI 21/9/5, `smoothLen=1–2`, thresholds **+50 / −50**, `zNewMax = 1.1–1.2`, `zHot = 1.6–1.8`, **StrictNR = false** (optional)
* **Swing (1h–D):**
* TSI 35/21/9, `smoothLen=4–6`, thresholds **+60 / −60**, `zNewMax = 1.2`, `zHot = 1.9–2.0`, **StrictNR = true**
---
## Notes & best practices
* **Session anchoring**: Z-score is session-anchored (resets by trading date). If you trade outside standard sessions, verify your data session.
* **Instrument specificity**: Tune **`zHot`**, **`zNewMax`**, and thresholds per symbol and timeframe.
* **Bar-close discipline**: Evaluate tags at **bar close** to avoid intrabar flip-flop.
* This is a **context/confirmation tool**, not a broker or strategy. Combine with your entry/exit rules and position sizing.
---
**Tip:** Start with the suggested day-trading profile. Use this oscillator as your **gate** (only trade with it), let your entry engine time executions, and rely on your exit tool for standardized profit-taking.
Triple Timeframe SMA Alignmentits an alignment of three timeframes. it basically gives the audience the chance to see if the sma 9 is above sma 21 and the price is above vwap in all the three timeframes that is 15 mins, 1 hour and 4 hour. This alignment helps you taking trade at the right time.
Adan Deep BUY Pro (v2.4) with SELL — Reliability+Adan Deep BUY Pro (v2.4) with SELL — Reliability
its a Reliability INDICATOR that can tells you where to buy and sell - high win rate
Good Luck ALL!
Fibs Has Lied 🌟 Fibs Has Lied - Indicator Overview 🌟
Designed for indices like US30, NQ, and SPX, this indicator highlights setups where price interacts with key EMA levels during specific trading sessions (default: 6:30–11:30 AM EST).
🌟 Key Features & Levels 🌟
🔹EMA Crossover Setups
The indicator uses the 100-period and 200-period EMAs to identify bullish and bearish setups:
- Bullish Setup: Triggers when the 100 EMA crosses above the 200 EMA, followed by two consecutive candles opening above the 100 EMA, with the low within a specified point distance (e.g., 20 points for US30).
- Bearish Setup: Triggers when the 100 EMA crosses below the 200 EMA, followed by two consecutive candles opening below the 100 EMA, with the high within the point distance.
- Signals are marked with green (buy) or red (sell) triangles and text, ensuring you don’t miss a setup. 📈
🔹 Reset Conditions for Re-Entries
After an initial setup, the indicator watches for “reset” opportunities:
- Buy Reset: If price moves below the 200 EMA after a bullish crossover, then returns with two consecutive candles where lows are above the 100 EMA (within point distance), a new buy signal is plotted.
- Sell Reset: If price moves above the 200 EMA after a bearish crossover, then returns with two consecutive candles where highs are below the 100 EMA (within point distance), a new sell signal is plotted.
This feature captures additional entries after liquidity grabs or fakeouts, aligning with ICT’s manipulation concepts. 🔄
🔹 Session-Based Filtering
Focus your trades during high-liquidity windows! The default session (6:30–11:30 AM EST, New York timezone) targets the London/NY overlap, where price often seeks liquidity or sets up for reversals. Toggle the time filter off for 24/7 signals if desired. 🕒
🔹Symbol-Specific Point Distance
Customizable entry zones based on your chosen index:
- US30: 20 points from the 100 EMA.
- NQ: 3 points from the 100 EMA.
- SPX: 2.5 points from the 100 EMA.
This ensures setups are tailored to the volatility of your market, maximizing relevance. 🎯
🔹 Market Structure Markers (Optional)
Visualize swing points with pivot-based labels:
- HH (Higher High): Signals uptrend continuation.
- HL (Higher Low): Indicates potential bullish support.
- LH (Lower High): Suggests weakening uptrend or reversal.
- LL (Lower Low): Points to downtrend continuation.
- Toggle these on/off to keep your chart clean while analyzing trend direction. 📊
🔹 EMA Visualization
Optionally plot the 100 EMA (blue) and 200 EMA (red) to see key levels where price reacts. These act as dynamic support/resistance, perfect for spotting liquidity pools or ICT’s Power of 3 setups. ⚖️
🌟 Customization Options 🌟
- Symbol Selection: Choose US30, NQ, or SPX to adjust point distance for entries.
- Time Filter: Enable/disable the 6:30–11:30 AM EST session to focus on high-liquidity periods.
- EMA Display: Toggle 100/200 EMAs on/off to reduce chart clutter.
- Market Structure: Show/hide HH/HL/LH/LL labels for cleaner analysis.
- Signal Markers: Green (buy) and red (sell) triangles with text are auto-plotted for easy identification.
🌟 Usage Tips 🌟
- Best Timeframes: Use on 3m for intraday scalping and 30m for swing trades.
- Combine with ICT Tools: Pair with order blocks, fair value gaps, or kill zones for stronger setups.
- Focus on Session: The default 6:30–11:30 AM EST session captures London/NY volatility—perfect for liquidity-driven moves.
- Avoid Overcrowding: Disable market structure or EMAs if you only want setup signals.
Yield T Markers + Bps + USD Bias + Action (FINAL v3)5-Minute Yield Checklist And Trade Bias Guide
Open a chart in TradingView. Timeframe 1 minute. Timezone Asia/Manila.
Pine Editor → paste the FINAL v3 code → Save → Add to chart.
Open the indicator Settings and set:
Release date and time
Offsets: Pre = 1, T+2 = 2, T+5 = 5
Symbols for yields if needed: US02Y and US10Y by default
What you will see
Three markers on the chart: T−1, T+2, T+5
A small table at top right:
Yield at T−1, T+2, T+5
Change in basis points from T−1
2Y and 10Y rows specifically for T+5
Action row
A badge on the last bar that prints:
USD Bias: Strong, Weak, or Mixed
2Y and 10Y moves in bps at T+5
Action and pair suggestions
The logic inside
Change (bps) = × 100
If 2Y change ≥ 5 bps and 10Y change ≥ 3 bps → USD Strong → Buy USD
If 2Y change ≤ −5 bps and 10Y change ≤ −3 bps → USD Weak → Sell USD
Otherwise Mixed
What “Buy USD” or “Sell USD” means
Buy USD → EURUSD Sell | USDJPY Buy | XAUUSD Sell
Sell USD → EURUSD Buy | USDJPY Sell | XAUUSD Buy
If the badge says Mixed, either skip or use small size.
Quick example
T−1 2Y = 4.12%, 10Y = 4.23%
T+5 2Y = 4.21% → +9 bps
T+5 10Y = 4.30% → +7 bps
Result: USD Strong → Buy USD → EURUSD Sell, USDJPY Buy, XAUUSD Sell
Tips and fixes
Nothing shows up: check the date and exact minute, and that the chart timezone is Asia/Manila.
Wrong symbols: some accounts use TVC:US02Y or FRED:DGS2. Edit the inputs sym2y and sym10y to match your tickers.
On 5m or higher timeframes the script still works by finding the bar that covers the target minute, but 1m is cleanest.
Spice • Micro Suite (T/r & B/r)What it is
A single Pine v5 indicator that stacks:
EMA ribbon + a “special” EMA (11 vs 34) line that flips color on trend.
MTF-RSI “pressure” check with simple up/down arrows.
Bollinger-Band re-entry system with Top/Bottom triggers (T/B) and confirmations (r) in the next N bars.
Classic candlestick add-ons: 3-Line Strike and Leledc exhaustion dots.
Your Micro Dots engine (ATR-based regime + Variable Moving Average filter) + an optional VMA trend line.
Alerts for all the above.
Key signals (what prints on the chart)
EMAs (20/50/100/200): plotted faintly; EMA-34 is drawn and colored by the 11>34 trend.
RSI arrows
Checks RSI(6) on the current TF and (optionally) 5m/15m/30m/1h/4h/1D.
Down arrow: current RSI > 70 and the selected higher TF RSIs are also > 70 (pressure cluster just cooled; barssince(redZone)<2).
Up arrow: current RSI < 30 and selected higher TFs also < 30 (barssince(greenZone)<2).
Bollinger Reversals (your update)
T (Top trigger): first close back inside the upper BB (crossunder(close, upper)).
B (Bottom trigger): first close back inside the lower BB (crossover(close, lower)).
r (Confirm): within the next confirmBars bars (input), price also
closes below the T-bar’s low → top r above bar
closes above the B-bar’s high → bottom r below bar
Bar tinting
Only the T/B trigger bars are tinted (yellow/orange). Everything else stays your normal candle colors (unless you add the optional “trend candles” block I gave you).
3-Line Strike
Prints a small green/red circle when the 3-line strike pattern appears (bull/bear).
Leledc Exhaustion
Calculates a running buy/sell index; prints a small ∘ at major highs/lows when exhaustion conditions hit (major==-1 high, major==1 low).
Micro Dots (your second script, merged)
ATR “micro supertrend” defines regime (up/down).
A fast Variable Moving Average + a simple MA(18) filter.
Green dot below bar when: VMA < price, price > MA(18), regime up, and VMA not pointing down.
Red dot above bar for the bearish mirror.
Separate VMA trend line (length = Fast/Med/Slow) that colors green/red/orange by slope.
Inputs you’ll care about
Top/Bot Reversal → confirmBars (how many bars you allow to confirm the T/B trigger).
RSI Timeframes → toggle which HTFs must agree with the OB/OS condition.
EMAs → show/hide and lengths.
BB → show/hide basis/bands (used for T/B even if hidden).
Micro → show dots, show VMA line, choose intensity (Fast/Med/Slow).
Alerts
Prebuilt alerts for: RSI Up/Down, T/B triggers, T/B confirmations, 3-Line Strike bull/bear, Leledc highs/lows, EMA crosses (20/50/100/200), the special 11/34 trend change, Micro Dots, and VMA price cross. (Alert messages are const strings so they compile cleanly.)
How to read clusters (quick playbook)
Reversal short: see T on/near upper band → get an r within your window → bonus confidence if an RSI down arrow or Leledc ∘ high shows up around the same time.
Reversal long: mirror with B then r, plus RSI up arrow / Leledc ∘ low.
Continuation: ignore lone T/B if Micro Dot stays green (or red) and EMA-11 > EMA-34 remains true.
Why your candles look “normal”
By design, the script only colors bars on T or B trigger bars. If you want always-on trend candles, use the small block I gave you to color by EMA(20/50) (or any rule you like) and let T/B override on trigger bars.
CTA-min D1 — Donchian 55/20 Trend Breakout (ATR Risk)What it is
A clean, daily trend-following breakout inspired by classic CTA/Turtle logic. It buys strength and sells weakness, then lets winners run with a channel-based trailing stop. No curve-fitting, no clutter—just rules.
How it trades
Timeframe: Daily (D1)
Entry: Close breaks the previous 55-bar Donchian channel (above for longs, below for shorts).
Exit/Trail: Trailing stop at the 20-bar Donchian channel on the opposite side (no fixed TP).
Risk: Initial stop = ATR(N) × stopMult (ATR is smoothed). Position size risks riskPct% of equity based on stop distance.
Labels: “BUY/SELL” only on the entry bar; “STOP BUY/STOP SELL” only on the exit bar.
Pyramiding: Off (one position at a time).
Regime Alignment with EMAs (recommended filter, not enforced by code)
Add EMA 50 and EMA 200 to the D1 chart.
Long bias: take BUY signals only when EMA50 > EMA200 (bullish regime).
Short bias: take SELL signals only when EMA50 < EMA200 (bearish regime).
Optional: for extra selectivity, require the H4 EMAs (50/200) to align with D1 before acting on a signal.
Inputs
entryN (55), exitN (20), atrLen (20), atrSmooth (10), stopMult (2.0), riskPct (0.5%–1.0% recommended).
Works well on (tested by user)
BTCUSD (Bitcoin), EURUSD, GBPJPY, NAS100/US100, USDJPY, AUDUSD, XAGUSD (Silver), US30 (Dow), JP225 (Nikkei), EURGBP, NZDUSD, EURCHF, USDCHF.
How to use
Apply to D1 charts. Review once per day after the daily close and execute next session open to mirror backtest assumptions. Best used as a portfolio strategy across multiple uncorrelated markets. Use the EMA alignment above as a discretionary regime filter to reduce false breakouts.
Notes
For educational use. Markets involve risk; past performance does not guarantee future results. Use responsible position sizing.
Enhanced 4H Candle Countdown & High/Low IndicatorBy profitgang
This Pine Script indicator provides real-time tracking of 4-hour timeframe levels with an integrated countdown timer, designed to help traders monitor key support and resistance zones.
Key Features
📊 Visual Elements
4H High/Low Lines: Clear visualization of previous 4-hour candle high and low levels
Range Fill: Subtle background fill between high and low for better context
Mid-Level Line: Shows the middle point of the 4H range
Position Indicator: Visual cue showing current price position within the range
⏰ Countdown Timer
Real-time countdown to next 4H candle close
Customizable table position (9 different locations)
Adjustable text size (6 size options from Tiny to Huge)
Distance calculations showing percentage distance from key levels
🎯 Signal Generation
Long signals when price crosses above 4H low
Short signals when price crosses below 4H high
RSI confluence filter to reduce false signals
Background highlighting for active signals
TradingView alerts compatible
⚙️ Customization Options
Toggle all features on/off independently
Custom colors for all elements
Table positioning (top/middle/bottom + left/center/right)
Text size selection for optimal readability
Alert notifications for level breaks and updates
How It Works
The indicator fetches the previous 4-hour candle's high and low values and displays them as horizontal lines on your current timeframe chart. It continuously calculates the time remaining until the current 4H candle closes and presents this information in a clean, customizable table.
Use Cases
Swing Trading: Identify key 4H support and resistance levels
Intraday Trading: Monitor when new 4H levels will be established
Risk Management: Calculate distance from key levels for position sizing
Multi-timeframe Analysis: Combine with lower timeframe setups
Educational Purpose
This indicator is designed for educational and analytical purposes to help traders understand price action relative to higher timeframe levels. It provides clear visual feedback about market structure and timing.
Settings Groups
Display Settings: Toggle features, positioning, and sizing
Colors: Customize all visual elements
Signal Settings: Configure alert conditions and confluence filters
Compatibility
Works on all timeframes (recommended for 1m to 1H charts)
Compatible with all instruments
Includes proper alert functionality for automated notifications
Optimized for both light and dark themes
This indicator does not provide financial advice. Always conduct your own research and risk management before making trading decisions.
Low-High Recursive Levels (Parameterized Low/High)Low high recursive script. The low and high are parameterized. For swing low, take a low point and double it and use it as high. For high to low, take a high point, half it and use it as low. Intermediate level half levels will be drawn.
ATR Volatility Breakout - Daily (Minimal) - SyTheInvestorGuycolor-coded TradingView Pine Script that highlights the background green/red on days when these ATR breakout conditions